A Detailed Analysis of Image Forgery Detection Techniques and Tools

Nowadays, we can see there is a surge in image tampering. In addition, to remove any traces of tampering, post-processing is carried out, which makes it challenging for the analyzer to find the fake. With the goal of leaving no signs for human visual detection, image forging can be carried out in a variety of ways by conducting different operations such as adding, removing, or copying specific elements of a picture within an image or to another image. Image tampering can be used to dilute, defame, and slander an individual or organization. Since digital images are frequently used as evidence in the media, in court, and for long-term record keeping, it is crucial to develop approaches to detect forgeries in images used by the mainstream press, in court hearings, and for maintaining visual records. The proposed paper focuses on various image forgery detection methods and tools. It also gives a comparative analysis between the various methods, their pros and cons, and the results obtained using various tools.